Analytics Engineer

Analytics Engineer (12 Month FTC) Fully Remote (UK) Up to £90,000 + benefits This is an excellent opportunity to step into a high-impact Analytics Engineer role within a growing, mission-driven organisation. You will take ownership of critical data models and pipelines, ensuring business continuity while contributing to the ongoing development of a modern data platform. With a strong focus on autonomy and collaboration, this role offers the chance to make a meaningful contribution from day one. The Company They are a fast-growing digital organisation operating within a highly regulated environment, delivering impactful services at scale. With a strong emphasis on data as a core enabler, they are investing in a modern cloud-based data stack to support decision-making and operational efficiency. Their culture is collaborative and flexible, with a fully remote setup and opportunities to connect in person when desired. The team values thoughtful data practices, strong governance, and continuous improvement. The Role • Take ownership of billing automation pipelines and ensure they continue running effectively • Complete in-flight data modelling projects and contribute to new model development • Build and maintain dbt models, including fact and dimension tables and metric layers • Collaborate closely with data engineering to support the end-to-end data platform • Review SQL and dbt work from analysts, supporting best practices and consistency • Contribute to improving data quality, structure, and governance across the platform Your Skills & Experience • Strong commercial experience with dbt, including building and maintaining data models • Advanced SQL skills and working knowledge of Python in a modern data environment • Experience working with cloud-based data platforms such as a lakehouse architecture • Understanding of data modelling principles, including star schemas and data transformation • Ability to work independently in a fast-moving and evolving environment • Comfortable collaborating across teams and reviewing or guiding others’ work • Exposure to Databricks is beneficial but not essen • Experience in regulated environments or data-sensitive industries is advantageous